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Extracting human capital from aggregated data

Abstract

In this paper, we discuss how human capital such as knowledge, competence and experience may be extracted
from aggregated data sets. In particular, we show how kernel
density estimation may be used as a statistical tool to better extract operational patterns for ships in ice-covered waters,given in large amounts of S-AIS data. Moreover, we discuss how human capital is reflected in operational data, and how this may be used as an input for short term prediction in a decision support system.

Category

Academic chapter

Language

English

Author(s)

Affiliation

  • SINTEF Narvik

Year

2016

Publisher

IEEE (Institute of Electrical and Electronics Engineers)

Book

Proceeding of 1st International Symposium on Small-scale Intelligent Manufacturing Systems (SIMS 2016)

ISBN

9781509030743

View this publication at Norwegian Research Information Repository